Fabian Fallas-Moya

According to our database, Fabian Fallas-Moya authored at least 10 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Tracking Through Words: A Novel Framework for Data Association in Tracking-by-Detection using Large Language Models.

Danny Xie-Li, Nixon Agüero-Elizondo, Fabian Fallas-Moya

Proceedings of the 44th International Conference of the Chilean Computer Science Society, 2025

PineSORT: A Simple Online Real-time Tracking Framework for Drone Videos in Agriculture.

Danny Xie-Li, Fabian Fallas-Moya

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Squeeze Every Bit of Insight: Leveraging Few-shot Models with a Compact Support Set for Domain Transfer in Object Detection from Pineapple Fields.

Fabian Fallas-Moya, Danny Xie-Li, Saúl Calderón Ramírez

Proceedings of the LI Latin American Computer Conference, 2025

Optimization of Pseudo-Labels for Semi-Supervised Object Detection Using an Improved Non-Maximum Suppression Method.

Fabian Fallas-Moya, Nelson Méndez-Montero

Proceedings of the LI Latin American Computer Conference, 2025

Using Deep-Learning Models for Face-Detection to Provide Privacy Information for Identity Protection.

Javier Cordero-Quirós, Fabian Fallas-Moya

Proceedings of the LI Latin American Computer Conference, 2025

2023

Object Detection in Pineapple Fields Drone Imagery Using Few Shot Learning and the Segment Anything Model.

Fabian Fallas-Moya, Saúl Calderón Ramírez, Amir Sadovnik, Hairong Qi

Proceedings of the International Conference on Machine Learning and Applications, 2023

2021

Size Does Matter: Overcoming Limitations during Training when using a Feature Pyramid Network.

Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Amir Sadovnik

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

Measuring the Impact of Memory Replay in Training Pacman Agents using Reinforcement Learning.

Fabian Fallas-Moya, Jeremiah Duncan, Tabitha K. Samuel, Amir Sadovnik

Proceedings of the XLVII Latin American Computing Conference, 2021

2019

Looking for the Best Fit of a Function over Circadian Rhythm Data.

Fabian Fallas-Moya, Manfred Gonzalez-Hernandez, Luis Barboza-Barquero, Kenneth Obando, Ovidio Valerio, Andrea Holst, Ronald Arias

Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018

Assessing the Impact of the Deceived Non Local Means Filter as a Preprocessing Stage in a Convolutional Neural Network Based Approach for Age Estimation Using Digital Hand X-Ray Images.

Saúl Calderón Ramírez, Fabian Fallas-Moya, Manuel Zumbado, Pascal N. Tyrrell, Hershel Stark, Ziga Emersic, Blaz Meden, Martín Solís

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018